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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
Paper illustration for Change Analysis.
Operations
Change Analysis
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
Purposedifferent
When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another.For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise.For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie.
Complexitysame
MediumMediumMediumMedium
Timedifferent
3-14 Tage1-4 h45-120 min1-3 h
Participantsdifferent
50+3-82-62-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Survey Results, Charts, Segment InsightsProblem Statement, Cause Hypotheses, Confirmed Causes, Action PlanChange Matrix, Cause Hypotheses, Validation Questions, Action ListCause Tree, Evidence Notes, Countermeasures
Tagsno overlap
QuantitativeResearchValidation
Root causeProblem solvingQualityIncident
ChangeRoot causeTroubleshootingComparison
Root causeTreeIncidentQuality
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